lasso
Result on lasso benchmark
benchmark_lasso_benchopt_run_2021-12-08_10h10m02.csv
System informations:
cpu
: 8
ram (GB)
: 31
platform
: Linux5.11.0-41-generic-x86_64
processor
: 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz
numpy
: 1.21.4 blas=openblas lapack=openblas
scipy
: 1.7.3
Dataset:
leukemia
libsvm[dataset=bodyfat]
Simulated[n_samples=100,n_features=5000,rho=0]
Simulated[n_samples=100,n_features=5000,rho=0.6]
Simulated[n_samples=100,n_features=10000,rho=0]
Simulated[n_samples=100,n_features=10000,rho=0.6]
Objective:
Lasso Regression[reg=0.5,fit_intercept=False]
Lasso Regression[reg=0.1,fit_intercept=False]
Lasso Regression[reg=0.05,fit_intercept=False]
Lasso Regression[reg=0.01,fit_intercept=False]
value
support_size
duality_gap
Chart type:
objective curve
suboptimality curve
relative suboptimality curve
histogram
semilog-y
semilog-x
loglog
linear
Quantiles: